Triple
T16459228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Lewis |
E399761
|
entity |
| Predicate | highSchoolAttended |
P5
|
FINISHED |
| Object | Kathleen High School |
E428138
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kathleen High School | Statement: [Ray Lewis, highSchoolAttended, Kathleen High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathleen High School Context triple: [Ray Lewis, highSchoolAttended, Kathleen High School]
-
A.
Kathleen High School
chosen
Kathleen High School is a public high school in Lakeland, Florida, best known for being the alma mater of Pro Football Hall of Famer Ray Lewis.
-
B.
Wall High School
Wall High School is a public secondary school serving students in grades 9–12 in Wall Township, Monmouth County, New Jersey.
-
C.
Anna High School
Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
-
D.
Melissa High School
Melissa High School is a public secondary school serving students in the growing community of Melissa, Texas.
-
E.
Bow High School
Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7ff0e881909100bb5b33c04291 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180bf3d308190b4965d57fe327a52 |
completed | May 11, 2026, 7:09 a.m. |
Created at: April 10, 2026, 5:10 a.m.